Data Version Control - Learn Data Science with Travis

Introduction to Data Version Control

Towards Data Science

What is Data Version Control (DVC)? Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneous...

The DVC Guide: Data Version Control For All Your Data Science Projects

Towards Data Science

As data scientists, we experiment with different versions of code, models, and data. Additionally, we even use version control system like Git to manage our code, track versions, move forward and…

Are you still not using Version Control for Data?

Towards Data Science

Recently, in a company meeting, one of my colleagues asked: Do we use some kind of version control for data? I gave him an astonished look. Do you mean version control for code? No for data, my…

Data Version Control For the Modern Data Scientist: 7 DVC Concepts You Can’t Ignore

Towards Data Science

Learn the most important concepts of data version control using DVC Python library by Iterative. Explained with fun, pun and striking visuals.

Introduction to DVC: Data Version Control Tool for Machine Learning Projects

Towards Data Science

Git is a powerful tool for version control. It allows you to go back and forth between different versions of your code without being afraid of losing the code you change. As a data scientist, you…

Version Controlling in Practice: Data, ML Model, and Code

Towards Data Science

Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations, weights...

What is version control

Atlassian Git Tutorial

Version control, also known as source control, is the practice of tracking and managing changes to software code. Version control systems are software tools that help software teams manage changes to ...

Version Control for Data Scientists: A Hands-on Introduction

Towards Data Science

Historically, many data scientists didn’t use “software development” tools like version control systems. These days as their code becomes more sophisticated and data scientists are increasingly…

How to Keep Track of Data Versions Using Versatile Data Kit

Towards Data Science

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-pace...

Data Versioning for Efficient Workflows with MLFlow and LakeFS

Towards AI

Version Control Systems, such as Git, are essential tools for versioning and archiving source code. Version Control helps you keep track of the changes in the code. When a change is made, an error…

A Quick Primer to Version Control Using Git

Towards Data Science

Version control is a type of system that allows you to keep track of changes made to your code over time. As such, version control is useful because: As coding is an integral aspect of data science…

How to Version Control your Machine Learning task — I

Towards Data Science

A component of software configuration management, version control, also known as revision control or source control,[1] is the management of changes to documents, computer programs, large web sites…